NDVI

Dataset statistics

Number of variables	19
Number of observations	2550
Missing cells	1176
Missing cells (%)	2.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	378.6 KiB
Average record size in memory	152.1 B

Variable types

Numeric	11
Categorical	8

Alerts

`LABEL2013` has constant value "Urban"	Constant
`LABEL2014` has constant value "Urban"	Constant
`LABEL2015` has constant value "Urban"	Constant
`LABEL2016` has constant value "Urban"	Constant
`LABEL2017` has constant value "Urban"	Constant
`LABEL2018` has constant value "Urban"	Constant
`LABEL2019` has constant value "Urban"	Constant
`LABEL2020` has constant value "Urban"	Constant
`df_index` is highly correlated with `LAT` and 4 other fields	High correlation
`LON` is highly correlated with `df_index` and 8 other fields	High correlation
`2013` is highly correlated with `df_index` and 8 other fields	High correlation
`2014` is highly correlated with `df_index` and 9 other fields	High correlation
`2015` is highly correlated with `df_index` and 8 other fields	High correlation
`2016` is highly correlated with `LON` and 7 other fields	High correlation
`2017` is highly correlated with `LON` and 7 other fields	High correlation
`2018` is highly correlated with `LON` and 7 other fields	High correlation
`2019` is highly correlated with `LON` and 7 other fields	High correlation
`2020` is highly correlated with `2013` and 6 other fields	High correlation
`LABEL2020` is highly correlated with `LABEL2017` and 6 other fields	High correlation
`LABEL2017` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LABEL2016` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LABEL2018` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LABEL2019` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LABEL2014` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LABEL2013` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LABEL2015` is highly correlated with `LABEL2020` and 6 other fields	High correlation
`LAT` is highly correlated with `df_index` and 2 other fields	High correlation
`LABEL2013` has 230 (9.0%) missing values	Missing
`LABEL2014` has 200 (7.8%) missing values	Missing
`LABEL2015` has 194 (7.6%) missing values	Missing
`LABEL2016` has 190 (7.5%) missing values	Missing
`LABEL2017` has 179 (7.0%) missing values	Missing
`LABEL2018` has 118 (4.6%) missing values	Missing
`LABEL2019` has 65 (2.5%) missing values	Missing
`df_index` has unique values	Unique

Reproduction

Analysis started	2022-09-22 15:21:57.776620
Analysis finished	2022-09-22 15:22:14.502286
Duration	16.73 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	2550
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12901.11804

Minimum	107
Maximum	25800
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	107
5-th percentile	6984.45
Q1	10530.25
median	12940.5
Q3	15419.75
95-th percentile	18046.1
Maximum	25800
Range	25693
Interquartile range (IQR)	4889.5

Descriptive statistics

Standard deviation	3937.916179
Coefficient of variation (CV)	0.3052383651
Kurtosis	1.662250451
Mean	12901.11804
Median Absolute Deviation (MAD)	2462
Skewness	-0.1172750626
Sum	32897851
Variance	15507183.83
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
107	1	< 0.1%
14550	1	< 0.1%
14543	1	< 0.1%
14544	1	< 0.1%
14545	1	< 0.1%
14546	1	< 0.1%
14547	1	< 0.1%
14548	1	< 0.1%
14549	1	< 0.1%
14551	1	< 0.1%
Other values (2540)	2540	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
107	1	< 0.1%
108	1	< 0.1%
143	1	< 0.1%
246	1	< 0.1%
247	1	< 0.1%
347	1	< 0.1%
348	1	< 0.1%
425	1	< 0.1%
426	1	< 0.1%
427	1	< 0.1%

Value	Count	Frequency (%)
25800	1	< 0.1%
25774	1	< 0.1%
25473	1	< 0.1%
25455	1	< 0.1%
25453	1	< 0.1%
25399	1	< 0.1%
25382	1	< 0.1%
25381	1	< 0.1%
25380	1	< 0.1%
25379	1	< 0.1%

LAT
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	100
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.43357255

Minimum	17.0275
Maximum	17.7475
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	17.0275
5-th percentile	17.3075
Q1	17.3775
median	17.4425
Q3	17.4975
95-th percentile	17.5425
Maximum	17.7475
Range	0.72
Interquartile range (IQR)	0.12

Descriptive statistics

Standard deviation	0.08394416492
Coefficient of variation (CV)	0.004815086792
Kurtosis	1.99202693
Mean	17.43357255
Median Absolute Deviation (MAD)	0.06
Skewness	-0.6344688667
Sum	44455.61
Variance	0.007046622824
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17.5075	65	2.5%
17.4975	62	2.4%
17.5125	62	2.4%
17.5025	61	2.4%
17.4525	61	2.4%
17.4925	61	2.4%
17.4825	60	2.4%
17.4475	60	2.4%
17.4575	59	2.3%
17.4625	59	2.3%
Other values (90)	1940	76.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17.0275	2	0.1%
17.0625	2	0.1%
17.0675	4	0.2%
17.0725	4	0.2%
17.0775	4	0.2%
17.0825	1	< 0.1%
17.0875	1	< 0.1%
17.0975	2	0.1%
17.1275	2	0.1%
17.1525	1	< 0.1%

Value	Count	Frequency (%)
17.7475	1	< 0.1%
17.7425	2	0.1%
17.6875	1	< 0.1%
17.6425	3	0.1%
17.6375	5	0.2%
17.6325	6	0.2%
17.6275	4	0.2%
17.6225	5	0.2%
17.6175	6	0.2%
17.6125	5	0.2%

LON
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	139
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	78.465233

Minimum	78.0475
Maximum	78.92751
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	78.0475
5-th percentile	78.28751
Q1	78.3975
median	78.4675
Q3	78.53751
95-th percentile	78.6125
Maximum	78.92751
Range	0.88001
Interquartile range (IQR)	0.14001

Descriptive statistics

Standard deviation	0.1193077387
Coefficient of variation (CV)	0.001520517229
Kurtosis	2.605373412
Mean	78.465233
Median Absolute Deviation (MAD)	0.07001
Skewness	-0.008685703397
Sum	200086.3441
Variance	0.01423433651
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78.42751	53	2.1%
78.4325	53	2.1%
78.4875	52	2.0%
78.48251	50	2.0%
78.4625	50	2.0%
78.4225	49	1.9%
78.4775	49	1.9%
78.4175	48	1.9%
78.4375	48	1.9%
78.5175	48	1.9%
Other values (129)	2050	80.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
78.0475	2	0.1%
78.05251	1	< 0.1%
78.0625	2	0.1%
78.0675	2	0.1%
78.0725	6	0.2%
78.0775	11	0.4%
78.0825	6	0.2%
78.0875	5	0.2%
78.1125	1	< 0.1%
78.1175	2	0.1%

Value	Count	Frequency (%)
78.92751	1	< 0.1%
78.9225	1	< 0.1%
78.9025	1	< 0.1%
78.8975	3	0.1%
78.8925	8	0.3%
78.8875	7	0.3%
78.8825	7	0.3%
78.8775	5	0.2%
78.87251	3	0.1%
78.8375	1	< 0.1%

2013
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2414
Distinct (%)	94.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3287112235

Minimum	0.16032
Maximum	0.58204
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0.16032
5-th percentile	0.2175865
Q1	0.27691
median	0.323695
Q3	0.3755075
95-th percentile	0.4574415
Maximum	0.58204
Range	0.42172
Interquartile range (IQR)	0.0985975

Descriptive statistics

Standard deviation	0.07074401917
Coefficient of variation (CV)	0.2152163179
Kurtosis	-0.2585913859
Mean	0.3287112235
Median Absolute Deviation (MAD)	0.049015
Skewness	0.2833181672
Sum	838.21362
Variance	0.005004716248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.28616	4	0.2%
0.27346	3	0.1%
0.41829	3	0.1%
0.33072	3	0.1%
0.29692	3	0.1%
0.22639	2	0.1%
0.29234	2	0.1%
0.21337	2	0.1%
0.39562	2	0.1%
0.32785	2	0.1%
Other values (2404)	2524	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.16032	1	< 0.1%
0.16302	1	< 0.1%
0.16714	1	< 0.1%
0.1673	1	< 0.1%
0.16744	1	< 0.1%
0.17128	1	< 0.1%
0.17191	1	< 0.1%
0.17381	1	< 0.1%
0.17499	1	< 0.1%
0.17686	1	< 0.1%

Value	Count	Frequency (%)
0.58204	1	< 0.1%
0.56936	1	< 0.1%
0.54841	1	< 0.1%
0.53817	1	< 0.1%
0.53354	1	< 0.1%
0.52991	1	< 0.1%
0.52731	1	< 0.1%
0.52646	1	< 0.1%
0.52012	1	< 0.1%
0.51869	1	< 0.1%

2014
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2431
Distinct (%)	95.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.323322102

Minimum	0.16165
Maximum	0.58526
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0.16165
5-th percentile	0.2175325
Q1	0.272355
median	0.318215
Q3	0.3669125
95-th percentile	0.448162
Maximum	0.58526
Range	0.42361
Interquartile range (IQR)	0.0945575

Descriptive statistics

Standard deviation	0.06898725546
Coefficient of variation (CV)	0.2133700574
Kurtosis	-0.07208338358
Mean	0.323322102
Median Absolute Deviation (MAD)	0.047255
Skewness	0.395791906
Sum	824.47136
Variance	0.004759241416
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.38254	4	0.2%
0.27308	3	0.1%
0.2746	3	0.1%
0.27109	3	0.1%
0.33969	3	0.1%
0.31084	2	0.1%
0.29409	2	0.1%
0.34752	2	0.1%
0.31754	2	0.1%
0.33371	2	0.1%
Other values (2421)	2524	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.16165	1	< 0.1%
0.16378	1	< 0.1%
0.16593	1	< 0.1%
0.16685	1	< 0.1%
0.16855	1	< 0.1%
0.16961	1	< 0.1%
0.17039	1	< 0.1%
0.17096	1	< 0.1%
0.17518	1	< 0.1%
0.17618	1	< 0.1%

Value	Count	Frequency (%)
0.58526	1	< 0.1%
0.58046	1	< 0.1%
0.54243	1	< 0.1%
0.52757	1	< 0.1%
0.5244	1	< 0.1%
0.52159	1	< 0.1%
0.52057	1	< 0.1%
0.51903	1	< 0.1%
0.51898	1	< 0.1%
0.51754	1	< 0.1%

2015
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2408
Distinct (%)	94.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3209652549

Minimum	0.16686
Maximum	0.5692
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0.16686
5-th percentile	0.2187695
Q1	0.2730075
median	0.316755
Q3	0.3651425
95-th percentile	0.439987
Maximum	0.5692
Range	0.40234
Interquartile range (IQR)	0.092135

Descriptive statistics

Standard deviation	0.06598958445
Coefficient of variation (CV)	0.2055972833
Kurtosis	-0.173715908
Mean	0.3209652549
Median Absolute Deviation (MAD)	0.04584
Skewness	0.3201133772
Sum	818.4614
Variance	0.004354625255
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.3164	3	0.1%
0.40373	3	0.1%
0.27054	3	0.1%
0.36793	3	0.1%
0.27798	3	0.1%
0.35868	3	0.1%
0.30401	3	0.1%
0.40993	3	0.1%
0.33349	3	0.1%
0.36318	2	0.1%
Other values (2398)	2521	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.16686	1	< 0.1%
0.16788	1	< 0.1%
0.16921	1	< 0.1%
0.17173	1	< 0.1%
0.17237	1	< 0.1%
0.17397	1	< 0.1%
0.17455	1	< 0.1%
0.17611	1	< 0.1%
0.17692	1	< 0.1%
0.17768	1	< 0.1%

Value	Count	Frequency (%)
0.5692	1	< 0.1%
0.55331	1	< 0.1%
0.53364	1	< 0.1%
0.52682	1	< 0.1%
0.52634	1	< 0.1%
0.51979	1	< 0.1%
0.51608	1	< 0.1%
0.50335	1	< 0.1%
0.50183	1	< 0.1%
0.50118	1	< 0.1%

2016
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2415
Distinct (%)	94.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.306381

Minimum	0.15874
Maximum	0.54005
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0.15874
5-th percentile	0.209906
Q1	0.2605125
median	0.300795
Q3	0.3490625
95-th percentile	0.421138
Maximum	0.54005
Range	0.38131
Interquartile range (IQR)	0.08855

Descriptive statistics

Standard deviation	0.06319287678
Coefficient of variation (CV)	0.2062558605
Kurtosis	-0.2428108851
Mean	0.306381
Median Absolute Deviation (MAD)	0.04434
Skewness	0.3544407113
Sum	781.27155
Variance	0.003993339676
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.34755	3	0.1%
0.34984	3	0.1%
0.35404	3	0.1%
0.29107	3	0.1%
0.27848	3	0.1%
0.28084	3	0.1%
0.32901	3	0.1%
0.2809	2	0.1%
0.34212	2	0.1%
0.38992	2	0.1%
Other values (2405)	2523	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.15874	1	< 0.1%
0.16007	1	< 0.1%
0.16173	1	< 0.1%
0.16235	1	< 0.1%
0.16336	1	< 0.1%
0.16437	1	< 0.1%
0.16604	1	< 0.1%
0.16619	1	< 0.1%
0.16786	1	< 0.1%
0.17231	1	< 0.1%

Value	Count	Frequency (%)
0.54005	1	< 0.1%
0.53122	1	< 0.1%
0.52233	1	< 0.1%
0.50076	1	< 0.1%
0.50047	1	< 0.1%
0.49507	1	< 0.1%
0.48752	1	< 0.1%
0.48245	1	< 0.1%
0.4806	1	< 0.1%
0.47457	1	< 0.1%

2017
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2429
Distinct (%)	95.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3234497882

Minimum	0.16212
Maximum	0.58771
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0.16212
5-th percentile	0.2167565
Q1	0.2707375
median	0.317835
Q3	0.37045
95-th percentile	0.4543505
Maximum	0.58771
Range	0.42559
Interquartile range (IQR)	0.0997125

Descriptive statistics

Standard deviation	0.07130246953
Coefficient of variation (CV)	0.2204437045
Kurtosis	-0.09581256326
Mean	0.3234497882
Median Absolute Deviation (MAD)	0.049665
Skewness	0.4227081944
Sum	824.79696
Variance	0.005084042161
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.29951	2	0.1%
0.26605	2	0.1%
0.24887	2	0.1%
0.36301	2	0.1%
0.39209	2	0.1%
0.25568	2	0.1%
0.35837	2	0.1%
0.28268	2	0.1%
0.347	2	0.1%
0.26277	2	0.1%
Other values (2419)	2530	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.16212	1	< 0.1%
0.16384	1	< 0.1%
0.1645	1	< 0.1%
0.16538	1	< 0.1%
0.16564	1	< 0.1%
0.16904	1	< 0.1%
0.1711	1	< 0.1%
0.1725	1	< 0.1%
0.17286	1	< 0.1%
0.17436	1	< 0.1%

Value	Count	Frequency (%)
0.58771	1	< 0.1%
0.56642	1	< 0.1%
0.56352	1	< 0.1%
0.56123	1	< 0.1%
0.55649	1	< 0.1%
0.54909	1	< 0.1%
0.53513	1	< 0.1%
0.53177	1	< 0.1%
0.52764	2	0.1%
0.52692	1	< 0.1%

2018
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2422
Distinct (%)	95.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3117158863

Minimum	0.161
Maximum	0.56912
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0.161
5-th percentile	0.213819
Q1	0.263945
median	0.30481
Q3	0.354005
95-th percentile	0.4345975
Maximum	0.56912
Range	0.40812
Interquartile range (IQR)	0.09006

Descriptive statistics

Standard deviation	0.06563081211
Coefficient of variation (CV)	0.2105468954
Kurtosis	-0.009656848504
Mean	0.3117158863
Median Absolute Deviation (MAD)	0.04426
Skewness	0.4847883394
Sum	794.87551
Variance	0.004307403498
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.33194	3	0.1%
0.30637	3	0.1%
0.25603	3	0.1%
0.26413	2	0.1%
0.29749	2	0.1%
0.28603	2	0.1%
0.31095	2	0.1%
0.26284	2	0.1%
0.29327	2	0.1%
0.29245	2	0.1%
Other values (2412)	2527	99.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.161	1	< 0.1%
0.16128	1	< 0.1%
0.16357	1	< 0.1%
0.16476	1	< 0.1%
0.16607	1	< 0.1%
0.16652	1	< 0.1%
0.16965	1	< 0.1%
0.17032	1	< 0.1%
0.17073	1	< 0.1%
0.17109	1	< 0.1%

Value	Count	Frequency (%)
0.56912	1	< 0.1%
0.55591	1	< 0.1%
0.54069	1	< 0.1%
0.5166	1	< 0.1%
0.51463	1	< 0.1%
0.50617	1	< 0.1%
0.50608	1	< 0.1%
0.50382	1	< 0.1%
0.50322	1	< 0.1%
0.50268	1	< 0.1%

2019
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2404
Distinct (%)	94.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3095043961

Minimum	0.16108
Maximum	0.55003
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0.16108
5-th percentile	0.2153725
Q1	0.2632075
median	0.301755
Q3	0.3505525
95-th percentile	0.43216
Maximum	0.55003
Range	0.38895
Interquartile range (IQR)	0.087345

Descriptive statistics

Standard deviation	0.06509410737
Coefficient of variation (CV)	0.2103172304
Kurtosis	0.1722441244
Mean	0.3095043961
Median Absolute Deviation (MAD)	0.042895
Skewness	0.5751257865
Sum	789.23621
Variance	0.004237242814
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.29154	3	0.1%
0.27034	3	0.1%
0.32341	3	0.1%
0.34081	3	0.1%
0.32226	3	0.1%
0.27142	3	0.1%
0.26464	3	0.1%
0.32272	3	0.1%
0.33507	3	0.1%
0.40432	3	0.1%
Other values (2394)	2520	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.16108	1	< 0.1%
0.16312	1	< 0.1%
0.16329	1	< 0.1%
0.16448	1	< 0.1%
0.16602	1	< 0.1%
0.16701	1	< 0.1%
0.16941	1	< 0.1%
0.16964	1	< 0.1%
0.16981	1	< 0.1%
0.16988	1	< 0.1%

Value	Count	Frequency (%)
0.55003	1	< 0.1%
0.53706	1	< 0.1%
0.53432	1	< 0.1%
0.53238	1	< 0.1%
0.52987	1	< 0.1%
0.5215	1	< 0.1%
0.51546	1	< 0.1%
0.51525	1	< 0.1%
0.51509	1	< 0.1%
0.51507	1	< 0.1%

2020
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2401
Distinct (%)	94.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3386187373

Minimum	0.17588
Maximum	0.58955
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	20.0 KiB

Quantile statistics

Minimum	0.17588
5-th percentile	0.2370135
Q1	0.28543
median	0.32747
Q3	0.3826475
95-th percentile	0.475871
Maximum	0.58955
Range	0.41367
Interquartile range (IQR)	0.0972175

Descriptive statistics

Standard deviation	0.07226835371
Coefficient of variation (CV)	0.2134210124
Kurtosis	-0.01108442795
Mean	0.3386187373
Median Absolute Deviation (MAD)	0.04702
Skewness	0.5884365333
Sum	863.47778
Variance	0.005222714948
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.30222	3	0.1%
0.28577	3	0.1%
0.30689	3	0.1%
0.28546	3	0.1%
0.30962	3	0.1%
0.30923	3	0.1%
0.31877	2	0.1%
0.36627	2	0.1%
0.45222	2	0.1%
0.36681	2	0.1%
Other values (2391)	2524	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.17588	1	< 0.1%
0.17939	1	< 0.1%
0.17948	1	< 0.1%
0.18124	1	< 0.1%
0.18263	1	< 0.1%
0.1857	1	< 0.1%
0.1861	1	< 0.1%
0.18618	1	< 0.1%
0.18716	1	< 0.1%
0.18736	1	< 0.1%

Value	Count	Frequency (%)
0.58955	1	< 0.1%
0.57205	1	< 0.1%
0.5684	1	< 0.1%
0.56286	1	< 0.1%
0.56236	1	< 0.1%
0.56224	1	< 0.1%
0.56012	1	< 0.1%
0.55977	1	< 0.1%
0.55794	1	< 0.1%
0.55218	1	< 0.1%

LABEL2013
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	230
Missing (%)	9.0%
Memory size	20.0 KiB

Urban	2320

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11600
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2320	91.0%
(Missing)	230	9.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2320	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2320	20.0%
r	2320	20.0%
b	2320	20.0%
a	2320	20.0%
n	2320	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9280	80.0%
Uppercase Letter	2320	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2320	25.0%
b	2320	25.0%
a	2320	25.0%
n	2320	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2320	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11600	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2320	20.0%
r	2320	20.0%
b	2320	20.0%
a	2320	20.0%
n	2320	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11600	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2320	20.0%
r	2320	20.0%
b	2320	20.0%
a	2320	20.0%
n	2320	20.0%

LABEL2014
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	200
Missing (%)	7.8%
Memory size	20.0 KiB

Urban	2350

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11750
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2350	92.2%
(Missing)	200	7.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2350	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2350	20.0%
r	2350	20.0%
b	2350	20.0%
a	2350	20.0%
n	2350	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9400	80.0%
Uppercase Letter	2350	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2350	25.0%
b	2350	25.0%
a	2350	25.0%
n	2350	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2350	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11750	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2350	20.0%
r	2350	20.0%
b	2350	20.0%
a	2350	20.0%
n	2350	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2350	20.0%
r	2350	20.0%
b	2350	20.0%
a	2350	20.0%
n	2350	20.0%

LABEL2015
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	194
Missing (%)	7.6%
Memory size	20.0 KiB

Urban	2356

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11780
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2356	92.4%
(Missing)	194	7.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2356	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2356	20.0%
r	2356	20.0%
b	2356	20.0%
a	2356	20.0%
n	2356	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9424	80.0%
Uppercase Letter	2356	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2356	25.0%
b	2356	25.0%
a	2356	25.0%
n	2356	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2356	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11780	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2356	20.0%
r	2356	20.0%
b	2356	20.0%
a	2356	20.0%
n	2356	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11780	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2356	20.0%
r	2356	20.0%
b	2356	20.0%
a	2356	20.0%
n	2356	20.0%

LABEL2016
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	190
Missing (%)	7.5%
Memory size	20.0 KiB

Urban	2360

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11800
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2360	92.5%
(Missing)	190	7.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2360	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2360	20.0%
r	2360	20.0%
b	2360	20.0%
a	2360	20.0%
n	2360	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9440	80.0%
Uppercase Letter	2360	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2360	25.0%
b	2360	25.0%
a	2360	25.0%
n	2360	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2360	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11800	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2360	20.0%
r	2360	20.0%
b	2360	20.0%
a	2360	20.0%
n	2360	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2360	20.0%
r	2360	20.0%
b	2360	20.0%
a	2360	20.0%
n	2360	20.0%

LABEL2017
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	179
Missing (%)	7.0%
Memory size	20.0 KiB

Urban	2371

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	11855
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2371	93.0%
(Missing)	179	7.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2371	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2371	20.0%
r	2371	20.0%
b	2371	20.0%
a	2371	20.0%
n	2371	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9484	80.0%
Uppercase Letter	2371	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2371	25.0%
b	2371	25.0%
a	2371	25.0%
n	2371	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2371	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11855	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2371	20.0%
r	2371	20.0%
b	2371	20.0%
a	2371	20.0%
n	2371	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11855	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2371	20.0%
r	2371	20.0%
b	2371	20.0%
a	2371	20.0%
n	2371	20.0%

LABEL2018
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	118
Missing (%)	4.6%
Memory size	20.0 KiB

Urban	2432

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12160
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2432	95.4%
(Missing)	118	4.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2432	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2432	20.0%
r	2432	20.0%
b	2432	20.0%
a	2432	20.0%
n	2432	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9728	80.0%
Uppercase Letter	2432	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2432	25.0%
b	2432	25.0%
a	2432	25.0%
n	2432	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2432	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12160	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2432	20.0%
r	2432	20.0%
b	2432	20.0%
a	2432	20.0%
n	2432	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12160	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2432	20.0%
r	2432	20.0%
b	2432	20.0%
a	2432	20.0%
n	2432	20.0%

LABEL2019
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	65
Missing (%)	2.5%
Memory size	20.0 KiB

Urban	2485

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12425
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2485	97.5%
(Missing)	65	2.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2485	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2485	20.0%
r	2485	20.0%
b	2485	20.0%
a	2485	20.0%
n	2485	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9940	80.0%
Uppercase Letter	2485	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2485	25.0%
b	2485	25.0%
a	2485	25.0%
n	2485	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2485	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12425	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2485	20.0%
r	2485	20.0%
b	2485	20.0%
a	2485	20.0%
n	2485	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12425	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2485	20.0%
r	2485	20.0%
b	2485	20.0%
a	2485	20.0%
n	2485	20.0%

LABEL2020
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	20.0 KiB

Urban	2550

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	12750
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Urban
3rd row	Urban
4th row	Urban
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	2550	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
urban	2550	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	2550	20.0%
r	2550	20.0%
b	2550	20.0%
a	2550	20.0%
n	2550	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10200	80.0%
Uppercase Letter	2550	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2550	25.0%
b	2550	25.0%
a	2550	25.0%
n	2550	25.0%

Uppercase Letter

Value	Count	Frequency (%)
U	2550	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12750	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	2550	20.0%
r	2550	20.0%
b	2550	20.0%
a	2550	20.0%
n	2550	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	2550	20.0%
r	2550	20.0%
b	2550	20.0%
a	2550	20.0%
n	2550	20.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	LAT	LON	2013	2014	2015	2016	2017	2018	2019	2020	LABEL2013	LABEL2014	LABEL2015	LABEL2016	LABEL2017	LABEL2018	LABEL2019	LABEL2020
0	107	17.3775	78.04750	0.46807	0.50665	0.46639	0.45427	0.47699	0.45679	0.42616	0.50689	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
1	108	17.3825	78.04750	0.43132	0.45377	0.43575	0.41307	0.43716	0.40492	0.36429	0.46852	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2	143	17.3775	78.05251	0.46602	0.50911	0.46874	0.45344	0.48692	0.45935	0.42363	0.50702	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
3	246	17.3325	78.06250	0.38557	0.41282	0.37643	0.38042	0.41350	0.36358	0.37119	0.42814	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
4	247	17.3375	78.06250	0.40016	0.40265	0.38272	0.38156	0.42316	0.35924	0.38613	0.43244	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
5	347	17.6225	78.06750	0.49796	0.51019	0.49874	0.43338	0.48666	0.48804	0.44542	0.48810	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
6	348	17.6275	78.06750	0.51661	0.51754	0.50118	0.44012	0.49441	0.49761	0.44885	0.47394	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
7	425	17.6075	78.07250	0.38281	0.39561	0.37005	0.33364	0.37499	0.37456	0.36513	0.38423	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
8	426	17.6125	78.07250	0.41392	0.43616	0.41272	0.36366	0.39584	0.38924	0.37742	0.40263	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
9	427	17.6175	78.07250	0.46341	0.48440	0.47281	0.42763	0.45675	0.44923	0.43628	0.46816	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban

Last rows

	df_index	LAT	LON	2013	2014	2015	2016	2017	2018	2019	2020	LABEL2013	LABEL2014	LABEL2015	LABEL2016	LABEL2017	LABEL2018	LABEL2019	LABEL2020
2540	25379	17.5225	78.89250	0.33712	0.34544	0.32894	0.31398	0.34476	0.33625	0.32800	0.35803	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2541	25380	17.5275	78.89250	0.39917	0.41380	0.37952	0.38031	0.40378	0.39219	0.37231	0.43909	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2542	25381	17.5325	78.89250	0.40976	0.42836	0.39547	0.38901	0.42572	0.40216	0.38748	0.49498	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2543	25382	17.5375	78.89250	0.39758	0.41259	0.38598	0.36814	0.41094	0.39154	0.38673	0.48909	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2544	25399	17.2525	78.89750	0.33924	0.31975	0.29171	0.28282	0.31751	0.29269	0.29810	0.33698	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2545	25453	17.5225	78.89750	0.37148	0.37623	0.35456	0.33444	0.37231	0.35786	0.35958	0.38779	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2546	25455	17.5325	78.89750	0.40606	0.42729	0.38914	0.38707	0.41392	0.38866	0.39421	0.47712	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2547	25473	17.2525	78.90250	0.36136	0.33457	0.30854	0.30166	0.35136	0.31615	0.30267	0.35836	None	None	None	None	None	None	None	Urban
2548	25774	17.4625	78.92250	0.41424	0.40772	0.38819	0.36489	0.43117	0.42993	0.40344	0.48538	Urban	Urban	Urban	Urban	Urban	Urban	Urban	Urban
2549	25800	17.2325	78.92751	0.39387	0.37387	0.36644	0.39412	0.44541	0.41260	0.33360	0.40543	None	None	None	None	None	None	None	Urban

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter